Effectiveness and user experience of ambient artificial intelligence-driven scribe technology among clinicians: a protocol for a systematic review.
4 affiliations
- 1Research and Innovation, Medical Affairs, Alexandra Hospital, National University Health System, Singapore, Singapore. [email protected].
- 2Research and Innovation, Medical Affairs, Alexandra Hospital, National University Health System, Singapore, Singapore.
- 3Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- 4Division of Respiratory & Critical Care Medicine, Department of Medicine, National University Health System, Singapore, Singapore.
Abstract
Background
The increasing adoption of electronic health records (EHRs) has contributed to high documentation burden among clinicians, negatively impacting job satisfaction and contributing to burnout. Ambient AI-driven scribe technology has emerged as a potential solution to automate clinical documentation and reduce clerical burden. However, the effectiveness and user experience of AI-scribes for clinicians have not been comprehensively evaluated. This systematic review will critically evaluate the current scientific evidence on the effectiveness and user experience of AI-driven scribe technology from the perspective of clinicians.Methods
We will conduct a systematic search of PubMed, Web of Science, Embase, CINAHL, MEDLINE, The Cochrane Library, PsycINFO, and Scopus from database inception to December 2024. The search strategy will include terms related to AI-scribes, clinical documentation, and clinician experience. We will include randomized trials, observational studies, qualitative studies, and usability evaluations of AI-driven scribe technology used by clinicians in outpatient settings. Two reviewers will independently screen studies, extract data, and assess risk of bias using standardized tools. Results will be synthesized narratively and quantitatively where appropriate, with a focus on identifying key benefits, challenges, and future directions to optimize AI-scribes for enhanced clinician experience and patient care delivery.Discussion
By providing a comprehensive evidence synthesis, this systematic review will inform strategic decision-making around the adoption and implementation of AI-driven scribes in clinical practice. The results will identify areas for future research and development of this promising technology to best support clinicians and alleviate documentation burden. Findings may also guide policies and best practices.Systematic review registration
PROSPERO CRD42024600076.
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BibTeX
@article{shankar2026effectiveness,
title = {{Effectiveness and user experience of ambient artificial intelligence-driven scribe technology among clinicians: a protocol for a systematic review.}},
author = {Ravi Shankar and Fiona Devi Siva Kumar and Anjali Bundele and Amartya Mukhopadhyay},
journal = {Systematic reviews},
year = {2026},
month = jul,
doi = {10.1186/s13643-026-03220-y},
url = {https://europepmc.org/article/MED/42902352},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Effectiveness and user experience of ambient artificial intelligence-driven scribe technology among clinicians: a protocol for a systematic review.
AU - Ravi Shankar
AU - Fiona Devi Siva Kumar
AU - Anjali Bundele
AU - Amartya Mukhopadhyay
PY - 2026
DA - 2026/07/01
JO - Systematic reviews
DO - 10.1186/s13643-026-03220-y
UR - https://europepmc.org/article/MED/42902352
AB - Background The increasing adoption of electronic health records (EHRs) has contributed to high documentation burden among clinicians, negatively impacting job satisfaction and contributing to burnout. Ambient AI-driven scribe technology has emerged as a potential solution to automate clinical documentation and reduce clerical burden. However, the effectiveness and user experience of AI-scribes for clinicians have not been comprehensively evaluated. This systematic review will critically evaluate the current scientific evidence on the effectiveness and user experience of AI-driven scribe technology from the perspective of clinicians.Methods We will conduct a systematic search of PubMed, Web of Science, Embase, CINAHL, MEDLINE, The Cochrane Library, PsycINFO, and Scopus from database inception to December 2024. The search strategy will include terms related to AI-scribes, clinical documentation, and clinician experience. We will include randomized trials, observational studies, qualitative studies, and usability evaluations of AI-driven scribe technology used by clinicians in outpatient settings. Two reviewers will independently screen studies, extract data, and assess risk of bias using standardized tools. Results will be synthesized narratively and quantitatively where appropriate, with a focus on identifying key benefits, challenges, and future directions to optimize AI-scribes for enhanced clinician experience and patient care delivery.Discussion By providing a comprehensive evidence synthesis, this systematic review will inform strategic decision-making around the adoption and implementation of AI-driven scribes in clinical practice. The results will identify areas for future research and development of this promising technology to best support clinicians and alleviate documentation burden. Findings may also guide policies and best practices.Systematic review registration PROSPERO CRD42024600076.
SN - 2046-4053
ER -